Utility of deep learning networks for the generation of artificial cardiac magnetic resonance images in congenital heart disease. - Gerhard-Paul Diller; Julius Vahle; Robert Radke; Maria Luisa Benesch Vidal; Alicia Jeanette Fischer; Ulrike M. M. Bauer; Samir Sarikouch; Felix Berger; Philipp Beerbaum; Helmut Baumgartner; Stefan Orwat (BMC Medical Imaging, 2020)

Federated Foundation Model for Cardiac CT Imaging. - Malte Tölle; Philipp Garthe; Clemens Scherer; Jan Moritz Seliger; Andreas Leha; Nina Krüger 002; Stefan Simm; Simon Martin 007; Sebastian Eble; Halvar Kelm; Moritz Bednorz; Florian André; et al. (CoRR, 2024)

Real world federated learning with a knowledge distilled transformer for cardiac CT imaging. - Malte Tölle; Philipp Garthe; Clemens Scherer; Jan Moritz Seliger; Andreas Leha; Nina Krüger 002; Stefan Simm; Simon Martin 007; Sebastian Eble; Halvar Kelm; Moritz Bednorz; Florian André; et al. (npj Digit. Medicine, 2025)

Multi-modal dataset creation for federated learning with DICOM-structured reports. - Malte Tölle; Lukas Burger; Halvar Kelm; Florian André; Peter Bannas; Gerhard-Paul Diller; Norbert Frey; Philipp Garthe; Stefan Groß; Anja Hennemuth; Lars Kaderali; Nina Krüger 002; et al. (Int. J. Comput. Assist. Radiol. Surg., 2025)